Parameter estimates for the orbits of M 32 and NGC 205 about the centre of mass of the M 31 system

Bibcode
1988A&A...200...21C
Cepa, J.; Beckman, J. E.
Bibliographical reference

Astronomy and Astrophysics (ISSN 0004-6361), vol. 200, no. 1-2, July 1988, p. 21-25.

Advertised on:
7
1988
Number of authors
2
IAC number of authors
2
Citations
30
Refereed citations
24
Description
The authors used simple kinematic, dynamic and geometrical assumptions to infer the orbital parameters of M32 and NGC 205 about M31. They find that both galaxies rotate in a retrograde sense compared to M31 indicating a possible common origin independent of the mother galaxy. Their periods, each ≅108yr, and their orbital radii, ≅12 kpc, are comparable, while the inclinations of their orbital planes are -95° for M32 and 122° for NGC 205, with respect to the plane of M31.
Type
Refereed
Andromeda Galaxy
Center of mass
Elliptical galaxies
Infrared photometry
Orbital elements
Line of sight

It may interest you

  • Refereed
    An ultra-short-period super-Earth with an extremely high density and an outer companion
    We present the discovery and characterization of a new multi-planetary system around the Sun-like star K2-360 (EPIC 201595106). K2-360 was first identified in K2 photometry as the host of an ultra-short-period (USP) planet candidate with a period of 0.88 d. We obtained follow-up transit photometry, confirming the star as the host of the signal
    Livingston, John H. et al.

    Advertised on:

    11
    2024
    Bibcode
    2024NatSR..1427219L
    Citations
    0
  • Refereed
    Neural calibration of imaging Stokes polarimeters
    Current polarimetric calibration techniques derive the instrument modulation matrix by numerically fitting an instrumental model to measurements of a set of calibration Stokes vectors. These techniques are typically limited to an error on the retrieved normalized Stokes Q, U and V parameters, in the $1\times10^{-2}$ to $1\times10^{-3}$ range. This
    Iglesias, F. A. et al.

    Advertised on:

    8
    2024
    Bibcode
    2024BAAA...65..281I
    Citations
    0
  • Refereed
    Model-based identification of solar coronal mass ejections using deep neural networks
    Coronal mass ejections (CMEs) are a major driver of space weather and thus can have important negative technological and social impacts. To assess their geoeffectiveness once they are ejected, it is crucial their prompt identification in coronagraph images. In the last decade, deep neural networks (DNN) have experienced enormous improvements in
    Iglesias, F. A. et al.

    Advertised on:

    8
    2024
    Bibcode
    2024BAAA...65...17I
    Citations
    0